ai
Build compliant AI chat agents, in minutes. LLM agents built for control. Designed for real-world use. Deployed in minutes.
Parlant gives you all the structure you need to build customer-facing agents that behave exactly as your business requires
An honest CLI for openrouter.ai. Fast and tmux-aware. ort sends your prompts to AI models on openrouter.ai.
It is built the old fashioned way, in solid Rust. It doesn't slow you down with Python interpreters. This is a modest 2 MiB ELF binary.
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The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. You can also create and share your own models and datasets with the community. The huggingface_hub library provides a simple way to do all these things with Python.
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In this short article, I will walk you through how I implemented it in Typescript (JS), how you can adopt MCP too and how it's going to make Agentic AI way simpler going forward.
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Build / Deploy Agent Workflows.
Launch agentic workflows with an open source, user-friendly environment for devs and agents.
Sim is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.
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A simple, open format for guiding coding agents, used by over 20k open-source projects.
Think of AGENTS.md as a README for agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.
Related contents:
- Improve your AI code output with AGENTS.md (+ my best tips) @ builder.io.
- #118 - Les news sur le développement web et l'IA pour septembre 2025 RC1 @ Double Slash :fr:.
- Optimizing repos for AI @ Tom Bedor's Blog.
- How to write a great agents.md: Lessons from over 2,500 repositories @ GitHub Blog.
- Writing a good CLAUDE.md @ humanlayer.
- Streamlining my user-level CLAUDE.md @ chris dzombak.
- The Complete Guide to CLAUDE.md @ builder.io.
- How to build self-improving coding agents - Part 1 @ Eric J Ma's Website.
- AGENTS.md outperforms skills in our agent evals @ Vercel.
- Evaluating AGENTS.md: Are Repository-Level Context Files Helpful for Coding Agents? @ arXiv.
- Knowledge Priming @ martinFowler.com.
- J'ai mis deux IA en code review l'une contre l'autre — voici ce que ça donne @ Maxence Maireaux :fr:.
- Filesystems are having a moment @ madalitso.me.
- Your Docs Directory Is Doomed @ Jim Yagmin's Blog.
- Stop Wasting Hours Writing Unit Tests: Use GitHub Copilot to Explode Code Coverage Fast @ Build5Nines.
(WIP) Zed fork focused on privacy and being local-first
This is Zedless, a fork of Zed that's designed to be privacy-friendly and local-first.
AI and inverse problems for a revolution in digital photography.
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Your Ultimate Virtual Assistant.
Experience the future of AI assistance with advanced customization, flexible model support, and seamless integration. Newelle brings you the power of AI with unmatched flexibility and control.
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React SDK for Timeline-Based Video Editing.
AI-powered video editor SDK built with React. Features canvas timeline, drag-and-drop editing, AI captions, and serverless MP4 export. Perfect for building custom video apps.
A Database for Your Mind.
One shared context across all your apps. Your transcripts inform your notes. Your notes guide your AI. Everything connects through a single folder of plain text and SQLite.
Epicenter is an ecosystem of open-source, local-first apps. Our eventual goal is to store all of your data—notes, transcripts, chat histories—in a single folder of plain text and SQLite. Every tool we build shares this memory. It's open, tweakable, and yours. Grep it, open it in Obsidian, host it wherever you like. The choice is yours.
RamaLama strives to make working with AI simple, straightforward, and familiar by using OCI containers.
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
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The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reasoning skills of its foundational model. The Qwen3 Embedding series represents significant advancements in multiple text embedding and ranking tasks, including text retrieval, code retrieval, text classification, text clustering, and bitext mining.
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Buttercup is a Cyber Reasoning System (CRS) developed by Trail of Bits for the DARPA AIxCC (AI Cyber Challenge). Buttercup finds and patches software vulnerabilities in open-source code repositories like example-libpng. It starts by running an AI/ML-assisted fuzzing campaign (built on oss-fuzz) for the program. When vulnerabilities are found, Buttercup analyzes them and uses a multi-agent AI-driven patcher to repair the vulnerability.
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A modern, AI-assisted, cross-platform database client.
DataPup is an open-source database client designed to make database management intuitive and enjoyable. With AI-powered query assistance and a beautiful, accessible interface, it's the database tool that developers actually want to use.
A provider agnostic PHP AI client SDK to communicate with any generative AI models of various capabilities using a uniform API.
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Yet Another Memory System. Content addressable storage with excellent search.
Persistent memory for LLMs and applications. Content‑addressed storage with deduplication, compression, semantic search, and full‑text indexing.
Kyutai's Speech-To-Text and Text-To-Speech models based on the Delayed Streams Modeling framework.
Kyutai STT is a streaming speech-to-text model architecture, providing an unmatched trade-off between latency and accuracy, perfect for interactive applications. Its support for batching allows for processing hundreds of concurrent conversations on a single GPU.
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canary-1b-flash supports automatic speech-to-text recognition (ASR) in four languages (English, German, French, Spanish) and translation from English to German/French/Spanish and from German/French/Spanish to English with or without punctuation and capitalization (PnC).
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parakeet-tdt-0.6b-v2 is a 600-million-parameter automatic speech recognition (ASR) model designed for high-quality English transcription, featuring support for punctuation, capitalization, and accurate timestamp prediction.
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Chat UI for Coderunner.
coderunner-ui is a local‑first AI workspace that lets you:
- Chat with local or remote LLMs
- Run generated code inside a fully isolated Apple Container VM
- Browse the web and automate tasks via a built‑in headless browser (Playwright) All without sending your data to the cloud.
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Run AI Generated Code Locally. A secure local sandbox to run LLM-generated code using Apple containers.
CodeRunner is an MCP (Model Context Protocol) server that executes AI-generated code in a sandboxed environment on your Mac using Apple's native containers.
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A curated list of awesome commands, files, and workflows for Claude Code.
This is a curated list of slash-commands, CLAUDE.md files, CLI tools, and other resources and guides for enhancing your Claude Code workflow, productivity, and vibes.
Up-to-date documentation for LLMs and AI code editors.
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The fast context maker. Surgical context engineering with a nice UI, Windows, Mac, Linux, BSD, anywhere where python & Qt run.
Take control of your AI's context to get radically better bug-fixing and planning assistance. When you don't tell the AIs about MCP servers and tools, you'll be suprised at what they are capable of.
Cut Code Review Time & Bugs in Half. Instantly.
Supercharge your team to ship faster with the most advanced AI code reviews.
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Chat with AI to build React apps instantly.
🔥 Clone and recreate any website as a modern React app in seconds.
Context Engineering for AI Systems.
TensorLake transforms unstructured documents into AI-ready data through Document Ingestion APIs and enables building scalable data processing pipelines with a serverless workflow runtime. The platform handles the complexity of document parsing, data extraction, and workflow orchestration on fully managed infrastructure including GPU acceleration.
POML (Prompt Orchestration Markup Language) is a novel markup language designed to bring structure, maintainability, and versatility to advanced prompt engineering for Large Language Models (LLMs). It addresses common challenges in prompt development, such as lack of structure, complex data integration, format sensitivity, and inadequate tooling. POML provides a systematic way to organize prompt components, integrate diverse data types seamlessly, and manage presentation variations, empowering developers to create more sophisticated and reliable LLM applications.
Train your AI self, amplify you, bridge the world.
an open-source prototype where you craft your own AI self—a new AI species that preserves you, delivers your context, and defends your interests.
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gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI.
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Claude Code IDE integration for Emacs.
Claude Code IDE for Emacs provides native integration with Claude Code CLI through the Model Context Protocol (MCP). Unlike simple terminal wrappers, this package creates a bidirectional bridge between Claude and Emacs, enabling Claude to understand and leverage Emacs’ powerful features—from LSP and project management to custom Elisp functions. This transforms Claude into a true Emacs-aware AI assistant that works within your existing workflow and can interact with your entire Emacs ecosystem.
Renderer for the harmony response format to be used with gpt-oss.
The gpt-oss models were trained on the harmony response format for defining conversation structures, generating reasoning output and structuring function calls. If you are not using gpt-oss directly but through an API or a provider like HuggingFace, Ollama, or vLLM, you will not have to be concerned about this as your inference solution will handle the formatting. If you are building your own inference solution, this guide will walk you through the prompt format. The format is designed to mimic the OpenAI Responses API, so if you have used that API before, this format should hopefully feel familiar to you. gpt-oss should not be used without using the harmony format as it will not work correctly.
Add React UI components to your AI agent.
A React package for building AI-powered applications with generative UI, where users interact through natural language.
Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents.
Turn any UI screenshot into clean, editable HTML/CSS with full control. Fast, accurate, and easy to customize.
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
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This document proposes a standardized vocabulary for expressing preferences related to how digital assets are used by automated processing systems. This vocabulary allows for the creation of structured declarations about restrictions or permissions for use of digital assets by such systems.
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LLM API Pricing Data.
Up-to-date pricing information for major LLM APIs including OpenAI, Anthropic, Google, and more. Compare costs across different AI models and find the best value for your use case.
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Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, "Manus", and “Claude Code” have gotten around this limitation by implementing a combination of four things: a planning tool, sub agents, access to a file system, and a detailed prompt.
deepagents is a Python package that implements these in a general purpose way so that you can easily create a Deep Agent for your application.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
LangExtract is a Python library that uses LLMs to extract structured information from unstructured text documents based on user-defined instructions. It processes materials such as clinical notes or reports, identifying and organizing key details while ensuring the extracted data corresponds to the source text.
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TraceRoot is an open-source debugging platform that helps engineers fix production issues 10x faster by combining structured traces, logs, and source code context with AI-powered analysis.
Build, edit and share mini-AI apps using natural language.
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Up-to-date developments and analyses of the EU AI Act.
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Deep Research at Your Fingertipsat Your Fingertips
Meet DeerFlow, your personal Deep Research assistant. With powerful tools like search engines, web crawlers, Python and MCP services, it delivers instant insights, comprehensive reports, and even captivating podcasts.
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
Understand your codebase.The Code Understanding Tool.
Sourcebot is a self-hosted tool that helps you answer questions about your code.
A Model Context Protocol server for Go developers.
GoDoctor is an intelligent, AI-powered companion for the modern Go developer. It integrates seamlessly with AI-powered IDEs and other development tools through the Model Context Protocol (MCP), providing a suite of powerful features to enhance your workflow.
The glamourous AI coding agent for your favourite terminal 💘
Your new coding bestie, now available in your favourite terminal. Your tools, your code, and your workflows, wired into your LLM of choice.
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An open-source AI agent that brings the power of Grok directly into your terminal. A conversational AI CLI tool powered by Grok with intelligent text editor capabilities and tool usage.
A Universal Attack on Defensive Image Watermarking.
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Enter a YouTube URL to get an AI-generated summary.
⚡ A lightweight, self-hosted YouTube video summarizer with Gemini AI
Rapidly build AI apps in Python.
Create web apps without the complexity of frontend development. Used at Google for rapid AI app development.
Mesop is a Python-based UI framework that allows you to rapidly build web apps like demos and internal apps.
any-agent is a Python library providing a single interface to different agent frameworks.
AI powered Kubernetes Assistant.
kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.
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Communicate with an LLM provider using a single interface.
any-llm is a Python library providing a single interface to different llm providers.
Build Agents that Never Hallucinate. Deploy the most accurate RAG in the world in two lines of code.
The most accurate document search and store for building AI apps.
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Detect agentic coding environments and AI editors.
Detect agentic coding environments and AI assistant tools. This library allows CLI tools and Node apps to detect when they're being executed by AI agents. This enables them to adapt by, for example, providing different output formats or logs.
AI-Powered Web Scraping & Data Enrichment. AI-powered web search with instant results and follow-up questions.
🔥 Blazing-fast AI search engine with real-time citations, streaming responses, and live data powered by Firecrawl
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Chainlit is an open-source Python package to build production ready Conversational AI.
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An open-source, code-first Python or Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Agent Development Kit (ADK) is a flexible and modular framework for developing and deploying AI agents. While optimized for Gemini and the Google ecosystem, ADK is model-agnostic, deployment-agnostic, and is built for compatibility with other frameworks. ADK was designed to make agent development feel more like software development, to make it easier for developers to create, deploy, and orchestrate agentic architectures that range from simple tasks to complex workflows.
- Agent Development Kit (ADK) Python @ GitHub.
- Agent Development Kit (ADK) Java @ GitHub.
- Agent Development Kit (ADK) for Go @ GitHub.
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The future of on device AI. Deploy high-performance AI directly in your app — with zero latency, full data privacy, and no inference costs.
Uzu is a high-performance inference engine for AI models on Apple Silicon.